DeFi Yield Risks: Smart Contract, Depeg, Liquidation, and More
By Jorge Rodriguez — Risk Management
All 8 major risk categories that threaten DeFi yield positions
Real exploit examples with specific dollar impacts across chains
A practical risk assessment checklist to evaluate any yield opportunity
Introduction
DeFi yields can reach double or triple digits, but every basis point of return carries a corresponding risk. The difference between sustainable profits and catastrophic losses often comes down to one thing: whether you understood the risks before you deposited. The DeFi risk landscape is more complex than most yield farmers realize. It is not just about smart contract hacks or rug pulls. There are at least eight distinct risk categories that can erode or destroy your capital, and they interact with each other in ways that amplify the damage. A stablecoin depeg can trigger cascading liquidations, which can expose oracle failures, which can cause contagion across an entire ecosystem. This guide breaks down every major risk category in **DeFi yield**, with real exploit examples, severity ratings, and actionable mitigation strategies. Whether you are providing liquidity, lending, staking, or running leveraged strategies, you need a systematic framework for evaluating risk before chasing APY. Tools like the [Lince Yield Tracker](https://yields.lince.finance/tracker) help you compare opportunities across protocols and chains, but no tracker can protect you from risks you do not understand. 
What Makes DeFi Yield Risky?
Every source of yield in DeFi introduces specific risk vectors. Lending protocols expose you to borrower default and liquidation mechanics. Liquidity provision subjects you to impermanent loss and pool imbalance. Staking ties your capital to validator performance and slashing conditions. Leveraged strategies multiply every underlying risk by your leverage factor. **The risk-return relationship in DeFi** The core principle is simple: higher yield almost always means higher risk. A lending pool offering 3% APY on USDC carries fundamentally different risks than a leveraged yield loop advertising 40% APY on a volatile pair. If you cannot identify exactly which risks you are taking on for a given yield, you are probably the exit liquidity. **The eight risk categories** This article covers the complete taxonomy of DeFi yield risks: smart contract risk, depeg risk, liquidation risk, oracle risk, impermanent loss, governance risk, counterparty and centralization risk, and systemic contagion risk. Each section explains the mechanism, provides real-world examples with dollar amounts, rates the severity, and offers specific mitigation strategies. For serious DeFi participants, these categories form the foundation of every sound yield strategy.
Smart Contract Risk
**What it is** **Smart contract risk** is the risk that bugs, logic errors, or exploitable vulnerabilities in a protocol's code allow an attacker to drain funds. This is the most fundamental risk in DeFi because every interaction with a protocol is ultimately an interaction with code. Reentrancy attacks, flash loan exploits, arithmetic overflows, and access control failures have all been used to steal billions. Upgradeable contracts add another dimension. Protocols using proxy patterns can change their logic after deployment, which means even audited code can be replaced with malicious versions if the admin keys are compromised or misused. **Real examples across chains** The Euler Finance exploit on Ethereum (March 2023) drained approximately $197M through a flash loan attack that manipulated the protocol's donation mechanism. The attacker eventually returned the funds, but depositors had no guarantee of recovery during those three weeks. The Wormhole bridge exploit (February 2022) resulted in $320M lost when an attacker forged a valid signature to mint unbacked wrapped ETH on Solana. The Curve Finance reentrancy attack (July 2023) exploited a compiler bug in Vyper to drain roughly $70M from multiple pools. Each of these incidents affected different chains and used different attack vectors, proving that smart contract risk is universal. **How to mitigate** • Check whether the protocol has been audited by reputable firms, and read the audit reports rather than just checking for a badge • Prefer battle-tested protocols with long track records and high **TVL** that has remained stable over time • Verify whether contracts are upgradeable, and if so, who controls the upgrade keys and what time delays exist • Diversify across multiple protocols so that a single exploit cannot wipe out your entire position • Monitor [rekt.news](https://rekt.news/) for exploit post-mortems and emerging vulnerability patterns **Severity: HIGH.** Total loss of deposited funds is possible. There is no recourse, no insurance payout in most cases, and no guarantee that stolen funds will be returned.
Depeg Risk
**What it is** **Depeg risk** is the risk that a pegged asset loses its target value. This affects stablecoins, liquid staking tokens (LSTs), and wrapped assets. For yield farmers, depeg events are particularly dangerous because many yield strategies assume that pegged assets will maintain their value. When that assumption breaks, the math behind your position breaks with it. **Stablecoin depeg** The UST/LUNA collapse in May 2022 remains the most devastating depeg event in DeFi history, wiping out over $40B in value. UST was an algorithmic stablecoin that relied on a mint-burn mechanism with LUNA to maintain its dollar peg. When confidence broke, the mechanism spiraled into a death loop that drove both tokens to near zero. Yield farmers earning 20% on Anchor Protocol lost everything. The USDC depeg during the Silicon Valley Bank crisis (March 2023) showed that even collateralized stablecoins are not immune. Circle held $3.3B at SVB, and USDC briefly dropped to $0.88 before recovering after the FDIC backstop announcement. The depeg was temporary, but anyone who panic-sold or got liquidated during those hours realized permanent losses.  **LST depeg** Liquid staking tokens like stETH can trade below their underlying value. During the 3AC/Celsius crisis in June 2022, stETH traded at a 5-7% discount to ETH. For most holders, this was a temporary discount that eventually closed. But for leveraged positions using stETH as collateral, the discount triggered liquidations at the worst possible time. It is important to distinguish between a temporary market discount (where the redemption mechanism is intact but slow) and a genuine depeg (where the underlying collateral is actually impaired). For a deeper look at LST mechanics, see our guide on [liquid staking tokens explained](/blog/yield-strategies/liquid-staking-tokens-explained). **Wrapped asset depeg** Wrapped tokens depend on the integrity of their bridge or custodian. If a bridge is compromised, the wrapped asset on the destination chain becomes unbacked and worthless. The Wormhole exploit demonstrated this: the attacker minted unbacked wETH on Solana, meaning the wrapped asset no longer had a 1:1 backing. Jump Trading covered the shortfall, but that was a bailout, not a guarantee. **How to mitigate** • Understand the peg mechanism of every pegged asset in your yield positions. Algorithmic pegs carry higher risk than fully collateralized ones. • Diversify stablecoin exposure. Do not concentrate all yield positions in a single stablecoin. • Monitor redemption mechanisms and liquidity depth. A stablecoin that cannot be redeemed 1:1 on demand is a liability. • Be cautious with leverage on pegged assets. Even a temporary depeg can trigger permanent losses through liquidation. **Severity: MEDIUM-HIGH.** Ranges from partial loss (temporary depeg with recovery) to total loss (algorithmic collapse). The severity depends on the peg mechanism and your position structure.
Liquidation Risk
**What it is** **Liquidation** occurs when your collateral value falls below the required **collateral ratio** in a lending protocol. The protocol sells your collateral (often at a discount) to repay your debt, and you lose both the collateral and a liquidation penalty. This risk applies to anyone borrowing against collateral or running leveraged yield strategies, including [leveraged yield looping](/blog/yield-strategies/leveraged-yield-looping-defi-explained). The mechanics vary by protocol. Some use fixed liquidation thresholds (e.g., 80% loan-to-value triggers liquidation). Others use health factors that account for multiple collateral types. The liquidation penalty ranges from 5% to 15% depending on the protocol and asset, meaning you lose more than just the difference between your collateral value and debt. **Cascading liquidations** **Cascading liquidation** is when one liquidation triggers a chain reaction. When a large position gets liquidated, the forced selling pushes the asset price lower. That lower price triggers more liquidations in other positions, which causes more forced selling, which pushes the price lower still. This feedback loop can cause flash crashes that wipe out positions far more conservative than where the cascade started.  **Real examples** March 2020's "Black Thursday" on MakerDAO was a defining cascading liquidation event. ETH crashed over 40% in hours, triggering mass liquidations. The cascade was so severe that some vaults were liquidated for $0 due to network congestion preventing bidders from participating, creating $8.3M in bad debt for the protocol. Subsequent market crashes triggered similar cascades on Aave and Compound. On-chain liquidation bots compete aggressively, and during extreme congestion, the gap between a healthy position and a liquidated one can close in minutes. **How to mitigate** • Maintain conservative collateral ratios well above the liquidation threshold. If the minimum is 150%, aim for 250% or higher. • Set up health factor monitoring and alerts. Do not rely on checking your position manually during volatile markets. • Consider using stablecoin-only lending strategies for lower liquidation risk, since both sides of the position are relatively stable. • Understand the specific liquidation mechanics of each protocol you use, including penalty percentages and whether partial liquidation is supported. • Keep reserve capital available to top up collateral during drawdowns rather than getting forced out at the worst prices. **Severity: HIGH.** Can result in total loss of your collateral position plus liquidation penalties. Leveraged strategies multiply this risk proportionally.
Oracle Risk
**What it is** An **oracle** is an external price feed that DeFi protocols rely on to determine asset values. Lending protocols use oracles to calculate collateral ratios. DEXs use them for pricing. Derivatives platforms use them for settlement. If an oracle reports an incorrect price, even briefly, it can trigger wrongful liquidations, enable exploits, or cause mispricing across the protocol. Oracle designs vary significantly. Some protocols use decentralized oracle networks like Chainlink or [Pyth Network](https://pyth.network/) that aggregate prices from multiple sources. Others use time-weighted average prices (TWAPs) from on-chain DEX pools, which can be manipulated through large trades. The choice of oracle architecture directly impacts the risk profile of every protocol that depends on it. **Real examples** The Mango Markets exploit on Solana (October 2022) is the most prominent oracle manipulation attack. Avraham Eisenberg used $10M in capital to artificially inflate the MNGO token price on Mango's oracle, then borrowed $114M against the inflated collateral value. The protocol's oracle relied too heavily on its own trading pool prices, making it vulnerable to manipulation. Even decentralized oracles can lag behind true market prices during rapid movements, creating windows where liquidations happen at stale prices or arbitrage opportunities drain protocol reserves. **How to mitigate** • Prefer protocols that use decentralized oracle networks with multiple independent data sources rather than single-source or on-chain TWAP oracles. • Check whether the protocol has fallback oracle mechanisms. A single oracle failure should not break the entire system. • Be aware of the oracle update frequency. Higher-frequency updates reduce the window for manipulation but increase costs. Lower-frequency updates save gas but create larger exploitation windows. • Monitor oracle infrastructure status. Services like Chainlink and Pyth publish uptime and deviation metrics that can signal potential issues. **Severity: MEDIUM-HIGH.** Can trigger wrongful liquidations or enable large-scale exploits. The risk is protocol-dependent, and users often have no visibility into oracle health until something goes wrong.
Impermanent Loss
**What it is** **Impermanent loss** (IL) is the difference between holding two tokens in your wallet versus providing them as liquidity in a pool. When the price ratio between the two tokens changes, the pool's automated rebalancing means you end up with more of the token that decreased in value and less of the token that increased. The loss is "impermanent" because it reverses if prices return to their original ratio, but in practice, prices rarely return to the exact entry point. For a deep dive into the mathematics, real calculations, and Solana-specific LP strategies, see our comprehensive guide on [impermanent loss explained](/blog/risk-management/impermanent-loss-explained-math-solana-lp-strategies). **When it matters most** IL is most severe in three scenarios. First, volatile pairs with large price divergences. An ETH/USDC pool where ETH doubles in price will generate significant IL regardless of fees earned. Second, concentrated liquidity positions (like those on Uniswap v3-style pools) where your capital is deployed in a narrow price range. If the price moves outside your range, you hold 100% of the losing side. Third, low-fee environments where trading volume does not generate enough fees to offset the loss. **How to mitigate** • Use correlated pairs (e.g., stETH/ETH, USDC/USDT) where price divergence is structurally limited. • For volatile pairs, calculate the breakeven fee income needed to offset expected IL before entering the position. • Consider active range management for concentrated liquidity positions rather than setting and forgetting. • Monitor the fee-to-IL ratio regularly. If trading volume drops and fees no longer cover the divergence loss, exiting may be the better move. **Severity: MEDIUM.** IL is a gradual erosion rather than a sudden catastrophic loss. However, on volatile pairs with concentrated positions, it can exceed all earned fees and result in a net negative return.
Governance Risk
**What it is** Governance risk encompasses the threats that arise from protocol governance mechanisms being exploited, manipulated, or poorly designed. A **governance attack** can alter fee structures, change collateral factors, drain treasury reserves, or modify token emissions in ways that directly harm depositors. Most DeFi protocols use token-weighted voting, which means anyone who accumulates enough governance tokens can push through proposals. In theory, time-locks and quorum requirements provide safeguards. In practice, these protections are only as strong as their implementation. **Real examples** The Beanstalk governance attack (April 2022) is the textbook case. An attacker used a **flash loan** to borrow over $1B from Aave, Uniswap, and SushiSwap. They used these funds to acquire enough Beanstalk governance tokens to reach the two-thirds voting threshold needed for emergency execution. They then voted to transfer the protocol's entire treasury to themselves, withdrew the funds, and repaid the flash loan, all in a single transaction. Total damage: $182M. This attack was possible because Beanstalk allowed emergency execution without a **time-lock** delay. The entire process happened in one atomic transaction. **How to mitigate** • Prefer protocols with meaningful time-lock delays between proposal approval and execution. A 48-72 hour delay gives the community time to detect and respond to malicious proposals. • Check governance quorum requirements. Low quorums make it cheaper to manipulate votes. • Monitor governance forums and voting dashboards. Unusual proposals or sudden voting activity can signal an attack. • Be cautious with protocols where a single entity or small group controls the majority of governance power. **Severity: MEDIUM.** Not every governance action results in direct fund loss, but the Beanstalk example shows the ceiling is catastrophic. The probability is lower than smart contract exploits, but the impact can be equally severe.
Counterparty and Centralization Risk
**What it is** **Counterparty risk** in DeFi refers to hidden dependencies on centralized entities within supposedly decentralized protocols. This includes admin keys held by a small team, centralized sequencers on Layer 2 networks, custodial bridges that hold wrapped assets, and centralized stablecoin issuers who can freeze tokens. Many "decentralized" protocols have significant centralized components. Admin keys can modify contract logic. Centralized oracles can be compromised. Bridge operators can abscond with funds. Even stablecoin issuers like Circle (USDC) and Tether (USDT) can blacklist addresses, which means your stablecoins are only as decentralized as their issuer allows. **Real examples** The Multichain bridge shutdown (July 2023) stranded hundreds of millions in user funds when the bridge's CEO was reportedly detained by Chinese authorities. The bridge relied on centralized MPC servers that only the team controlled, leaving users with no way to recover assets. Multiple tokens on chains like Fantom became unbacked overnight. The WBTC custody controversy in August 2024 highlighted centralization risk when BitGo announced a joint venture with BiT Global, raising concerns about custody control over the most widely used wrapped Bitcoin. Major DeFi protocols moved to reduce WBTC exposure in response. The FTX/Alameda collapse showed how centralized entity failure ripples through DeFi. Protocols that accepted FTT as collateral or held funds on FTX were exposed to counterparty risk they had not evaluated. **How to mitigate** • Evaluate the protocol's overall safety profile. Our guide on [how to evaluate DeFi protocol safety](/blog/risk-management/defi-due-diligence-checklist) provides a structured approach. • Check who holds admin keys and whether they are protected by multi-signature wallets with reasonable thresholds. • Prefer immutable contracts or DAO-governed upgrade processes with time-lock delays over team-controlled upgrades. • Understand the custody model for any bridge-dependent or wrapped assets in your positions. • Diversify across different stablecoin issuers and bridge providers to limit single-counterparty exposure. **Severity: MEDIUM-HIGH.** Ranges from frozen funds (temporary) to total loss (bridge or custodian failure). The risk is often invisible until a crisis reveals the centralized dependencies.
Systemic and Contagion Risk
**What it is** **Systemic risk** in DeFi is the risk that one protocol's failure cascades across the ecosystem. **Composability**, the ability of DeFi protocols to interact and build on each other, is both DeFi's greatest innovation and its most dangerous vulnerability. When protocols use each other's tokens as collateral, deposit into each other's pools, and rely on shared infrastructure, a failure in one link can propagate through the entire chain. This is not theoretical. Events affecting one protocol routinely impact dozens of others within hours. **Real examples** The UST/LUNA collapse in May 2022 triggered the most devastating contagion event in DeFi history. The stablecoin's failure did not stay contained. It brought down Anchor Protocol (which held most of UST's yield farming deposits), exposed Three Arrows Capital's insolvency, which triggered the collapse of Celsius, Voyager, and BlockFi. The total value destroyed across the ecosystem far exceeded UST's own market cap. The FTX collapse in November 2022 showed a similar pattern originating from a centralized exchange. Protocols with FTX exposure, tokens with Alameda as market maker, and funds caught in FTX custody all suffered collateral damage. **How to mitigate** • Diversify across both protocols AND ecosystems. If all your yield positions are in one DeFi ecosystem (e.g., all on Ethereum mainnet, all using the same stablecoins), you are exposed to correlated failure. • Limit your exposure to any single yield source. A portfolio where one protocol represents 50% of your capital is a portfolio with systemic concentration risk. • Monitor ecosystem health indicators: TVL trends, protocol revenue versus token emissions, stablecoin inflows and outflows, and large wallet movements. • Pay attention to leverage ratios across the ecosystem. High aggregate leverage is the accelerant that turns a small fire into an inferno. **Severity: HIGH.** Can affect entire ecosystems simultaneously. Individual mitigation is difficult because the risk is emergent, arising from interactions between protocols rather than from any single protocol's weakness.
DeFi Risk Assessment Framework
**Risk severity summary** The following table summarizes all eight risk categories, their severity, and whether mitigation is primarily within your control. | Risk Type | Severity | Likelihood | Potential Impact | User Mitigation | |---|---|---|---|---| | Smart Contract | High | Medium | Total loss | Partial (diversify, check audits) | | Depeg | Medium-High | Medium | Partial to total | Moderate (diversify, monitor) | | Liquidation | High | High (if leveraged) | Total collateral loss | High (manage ratios, alerts) | | Oracle | Medium-High | Low-Medium | Varies widely | Low (protocol-dependent) | | Impermanent Loss | Medium | High (for LPs) | Fee erosion to net loss | Moderate (pair selection) | | Governance | Medium | Low | Potentially total | Moderate (monitor, time-locks) | | Counterparty | Medium-High | Low-Medium | Frozen to total loss | Moderate (diversify custody) | | Systemic | High | Low | Ecosystem-wide | Limited (diversify broadly) |  **Building a risk-adjusted yield strategy** Every yield opportunity should be evaluated through a risk lens, not just an APY lens. When you see a 25% APY, the first question should not be "how do I deposit?" but rather "which of these eight risks am I taking on, and is the yield adequate compensation?" Compare two hypothetical positions. Position A offers 8% APY on a battle-tested lending protocol using USDC on Ethereum with a strong audit history. Position B offers 35% APY on a newer liquidity pool on a less established chain with an unaudited contract. Position A exposes you primarily to smart contract risk (low, given the track record) and stablecoin depeg risk (moderate). Position B exposes you to smart contract risk (high, unaudited), potential oracle risk, counterparty risk, and systemic risk if the ecosystem is immature. The 27% APY difference is not free money. It is the market pricing those additional risks. For strategies that deliberately minimize directional exposure, [delta-neutral approaches](/blog/yield-strategies/delta-neutral-strategies-defi) can reduce several of these risk factors while preserving yield. Use the [Lince Yield Tracker](https://yields.lince.finance/tracker) to compare yield opportunities across protocols and chains, and apply this risk framework before committing capital. **Practical risk checklist** Before entering any DeFi yield position, run through these checks: • Has the protocol been audited by at least one reputable security firm? Have you read the findings? • How long has the protocol been live, and what is its track record? Has it survived at least one market downturn? • Can you identify exactly which of the eight risk types apply to this position? • What is your maximum acceptable loss, and does the position size reflect that? • Are you diversified across protocols, chains, and asset types, or concentrated in a single ecosystem? • Do you have monitoring and alerts set up for your positions, especially for leveraged strategies? • Can you exit the position quickly if needed, or are there lockup periods, low liquidity, or withdrawal queues?
How Risk Profiles Differ by Chain
Not all DeFi ecosystems carry the same risk profile. The underlying blockchain architecture, validator set, transaction finality model, and ecosystem maturity all influence which risks are more or less prominent. **Ethereum** has the deepest liquidity, the most battle-tested protocols, and the largest auditor coverage. However, high gas costs during congestion can prevent timely collateral top-ups or liquidation participation, amplifying cascading liquidation risk. The mempool also creates MEV extraction opportunities that can front-run your transactions. **Solana** offers sub-second finality and low transaction costs, reducing the risk of failed liquidation management during volatility. There is no public mempool in the traditional sense, limiting certain MEV attack vectors. However, the ecosystem is younger than Ethereum's, meaning many protocols have shorter track records. Solana has also experienced network outages that temporarily prevented all on-chain activity, which is a unique risk vector for time-sensitive positions. **Layer 2 networks** (Base, Arbitrum, Optimism) inherit Ethereum's security model to varying degrees but introduce additional centralization risks through sequencers and bridging. A sequencer outage can delay transaction processing, which matters for liquidation-sensitive positions. The practical takeaway: diversifying across chains is not just about finding better yields. It is a deliberate risk management strategy that reduces exposure to chain-specific failure modes.
FAQs
### What are the biggest risks of DeFi yield farming? The biggest risks are smart contract exploits (code vulnerabilities leading to fund theft), depeg events (stablecoins or LSTs losing their peg), and liquidation cascades (forced collateral sales during market downturns). These three categories account for the majority of historical losses in DeFi. Oracle manipulation, governance attacks, and systemic contagion round out the major risk types. ### Can I lose all my money in DeFi? Yes. Smart contract exploits can drain 100% of funds deposited in a protocol. Algorithmic stablecoin collapses like UST/LUNA wiped out depositors entirely. Leveraged positions can lose all collateral through liquidation plus penalties. Even diversified positions can suffer severe losses during systemic events that affect multiple protocols simultaneously. ### How do I check if a DeFi protocol is safe? Review audit reports from reputable firms and note any unresolved findings. Check TVL history on DeFiLlama for stability over time. Verify team transparency and whether they are publicly known. Look at how long the protocol has been live and whether it has survived market downturns. Examine governance structure, admin key controls, and whether contracts are upgradeable. No protocol is completely safe, but these checks help filter out the highest-risk options. ### What is cascading liquidation in DeFi? Cascading liquidation is a chain reaction where one liquidation triggers more liquidations. When a large collateral position gets liquidated, the forced selling pushes the asset price lower. That lower price triggers liquidation of other positions that were above the threshold moments before. The cycle repeats, creating a waterfall effect that can crash prices far beyond the initial trigger. MakerDAO's Black Thursday in March 2020 is the most cited example. ### Are stablecoins safe for DeFi yield? Stablecoins reduce price volatility risk but do not eliminate all risks. You remain exposed to depeg risk (the stablecoin itself losing its peg), smart contract risk (the protocol where you deposit could be exploited), and counterparty risk (centralized issuers can freeze tokens). Algorithmic stablecoins carry higher depeg risk than fully collateralized ones. Diversifying across multiple stablecoins reduces but does not eliminate these exposures. ### How do I manage risk across multiple DeFi protocols? Diversify across protocols, chains, and asset types to avoid correlated failures. Size positions according to your maximum acceptable loss per protocol. Use monitoring tools and health factor alerts for any leveraged positions. Maintain a risk checklist that evaluates each position against the eight major risk categories. Periodically review portfolio concentration and rebalance if any single protocol or chain represents an outsized share of your capital. ### What is the difference between smart contract risk and protocol risk? Smart contract risk specifically refers to vulnerabilities in the code: bugs, logic errors, and exploitable functions. Protocol risk is a broader category that includes smart contract risk plus governance risk, oracle risk, economic design risk, and operational risk. A protocol can have perfectly audited smart contracts and still fail due to a governance attack, oracle manipulation, or flawed tokenomics. Smart contract risk is one component of overall protocol risk. ### Is higher APY always riskier in DeFi? Generally, yes. Higher yields compensate for higher risk, whether that risk comes from smart contract novelty, leverage, volatile assets, or unsustainable token emissions. Red flags include yields that far exceed comparable opportunities without an obvious reason, yields funded primarily by token emissions rather than real revenue, and newly launched protocols offering aggressive rates to attract liquidity. If a yield looks too good to be true, work through the eight risk categories to identify what you are being compensated for.
Conclusion
DeFi yield is not free money. Every yield source carries a specific combination of the eight risk categories covered in this guide: smart contract risk, depeg risk, liquidation risk, oracle risk, impermanent loss, governance risk, counterparty risk, and systemic contagion risk. The goal is not to avoid all risk, which would mean avoiding DeFi entirely. The goal is to understand exactly which risks you are taking, whether the yield adequately compensates for those risks, and whether you have appropriate mitigation strategies in place. A systematic approach to risk assessment separates sustainable DeFi participants from those who get wiped out in the next market event. Before entering any yield position, run through the risk checklist. Diversify across protocols, chains, and asset types. Monitor your positions actively, especially leveraged ones. Compare opportunities side by side with the [Lince Yield Tracker](https://yields.lince.finance/tracker) before committing capital. The extra 30 minutes of due diligence before depositing is the cheapest insurance in DeFi.